Rolling Element Bearing Fault Diagnosis Using Improved Manifold Learning
Fault feature can be extracted by traditional Moleskin Trousers manifold learning algorithms, which construct neighborhood graphs by Euclidean distance (ED).It is difficult to get an excellent dimensionality reduction result when processed data has strong correlations.In order to improve the effect of dimensionality reduction and increase accuracy